src/components/NLU.py

@@ -1,27 +1,27 @@
-# Iwona
+from jsgf import PublicRule, Grammar
+import re
+
 class NLU:
-    # add slots
+    def get_str_cleaned(str_dirty):
+        punctuation = '!"#$%&\'()*+,-./:;<=>?@[\\\\]^_`{|}~'
+        new_str = str_dirty.lower()
+        new_str = re.sub(' +', ' ', new_str)
+        for char in punctuation:
+            new_str = new_str.replace(char,'')
+        return new_str
 
-    userSpeechActs = {
-            'hello': None,
-            'null': None,
-            'inform': None,
-            'ack': None,
-    }
+    def getDialogAct(rule):
+        slots = []
+        return {'act': rule.grammar.name, 'slots': slots}
 
-    def getUserActs(self, userInput):
-        resultUserActs = []
-
-        # split user input
-        userInput = userInput.lower().split()
-
-        # find key words
-        if "cześć" in userInput:
-            resultUserActs.append(self.userSpeechActs[0])
-        if "imię" in userInput:
-            resultUserActs.append(self.userSpeechActs[0])
-
-
-        # returns user speech act
-        return  # wyobrażam sobie to jako słownik list krotek UwU {inform:[('name','edyta'), ('age','18')], reqmore:[date,time]}
-                #słownik słowników????  {inform:{'name':'edyta', 'age':18}, reqmore:{'date','time'}}  albo słownik słowników/zbiorów bardziej pasuje
+    def nlu(utterance):
+        hello = Grammar('hello')
+        hello.add_rule(PublicRule('witaj', 'cześć jak masz na imię'))
+        
+        utterance = NLU.get_str_cleaned(utterance)
+        
+        matched = hello.find_matching_rules(utterance)
+        if matched:
+            return NLU.getDialogAct(matched[0])
+        else:
+            return {'act': 'null', 'slots': []}

src/dialogue_system.py

@@ -1,5 +1,7 @@
+from components.NLU import NLU
+
 def generate_response(input):
-    result = "pass"
+    result = NLU.nlu(input)
     return result
 
 inputText = 'Cześć, jak masz na imię?'